
Regression Quiz
Quiz by Data Analytics & Communication Help Desk
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10 questions
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- Q1A predictor variable can also be a dependent variable in the same regression model.TrueFalse30s
- Q2You want to predict the price of your house based on the size of its interior and garden, both expressed in square meters. You should use:You can use eitherLogistic RegressionLinear Regression30s
- Q3What do we need to assume about the error terms in linear regression? Choose all that apply.They need to be independent and identically distributedThey need to be identically distributed, but the shape of the distribution does not matterThey need to have a normal distribution but the mean does not matter30s
- Q4Fitting a regression model means estimating the parameters of the regression model based on the distribution of the sample data.TrueFalse30s
- Q5We cannot use the least squares method to estimate parameters for Logistic Regression.FalseTrue30s
- Q6Knowing that the dependent variable is normally distributed is a sufficient condition for being able to use Linear Regression.FalseTrue30s
- Q7If a predictor variable is deemed by an anova to not be significant in a model but its interaction with another predictor variable is, we should:Remove the non-significant predictor variableKeep both variables and their interaction in, since the non-significant one is part of the model anywayRemove the non-significant predictor variable and its interaction with the other variable30s
- Q8We can predict dependent variables using a regression model by filling in most (but not necessarily all) of the predictor variables.FalseTrue30s
- Q9If we have categorical variables and we wish to use them in a linear regression, then we can do so without any other modifications, since only the dependent variable needs to be scalar.FalseTrue30s
- Q10There can be an interaction between three or more predictor variables in a regression model.FalseTrue30s